Assessing undergraduate and postgraduate hard and soft skills in analytics and data science courses

Hdl Handle:
http://hdl.handle.net/10545/620929
Title:
Assessing undergraduate and postgraduate hard and soft skills in analytics and data science courses
Authors:
Self, Richard ( 0000-0003-4694-4309 )
Abstract:
Traditional approaches to assessing undergraduate assignments in the field of software related courses, including Analytics and Data Science courses, involve the course tutors in reading the students’ code and getting the students to physically demonstrate their artefacts. However, this approach tends only to assess the technical skills of solving the set task. It generally fails to assess the many soft skills that industry is looking for, as identified in the e-skills UK (Tech Partnership) / SAS®1 report from Nov 2014 and the associated infographic poster. This paper will describe and evaluate the effectiveness of a different approach to defining the assessment task and formatively and summatively assessing the work of the students in order to effectively evaluate and mark both the soft skills, including creativity, curiosity, storytelling, problem solving and communication, as well as the technical skills. This approach works effectively at all levels of undergraduate and masters courses.
Affiliation:
University of Derby
Citation:
Self, R. (2016) 'Assessing Undergraduate and Postgraduate Hard and Soft Skills in Analytics and Data Science Courses', SAS Global Forum 2016, Sands Convention Center, Las Vegas, 18-21 April
Publisher:
SAS Inc.
Journal:
Proceedings of the SAS Global Forum
Issue Date:
19-Apr-2016
URI:
http://hdl.handle.net/10545/620929
Embedded Video:
Additional Links:
http://support.sas.com/resources/papers/proceedings16/9700-2016.pdf; http://support.sas.com/resources/papers/proceedings16/index.html; http://www.sas.com/en_us/events/sas-global-forum/sas-global-forum-2016.html
Type:
Meetings and Proceedings
Language:
en
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorSelf, Richarden
dc.date.accessioned2016-11-21T13:03:33Z-
dc.date.available2016-11-21T13:03:33Z-
dc.date.issued2016-04-19-
dc.identifier.citationSelf, R. (2016) 'Assessing Undergraduate and Postgraduate Hard and Soft Skills in Analytics and Data Science Courses', SAS Global Forum 2016, Sands Convention Center, Las Vegas, 18-21 Aprilen
dc.identifier.urihttp://hdl.handle.net/10545/620929-
dc.description.abstractTraditional approaches to assessing undergraduate assignments in the field of software related courses, including Analytics and Data Science courses, involve the course tutors in reading the students’ code and getting the students to physically demonstrate their artefacts. However, this approach tends only to assess the technical skills of solving the set task. It generally fails to assess the many soft skills that industry is looking for, as identified in the e-skills UK (Tech Partnership) / SAS®1 report from Nov 2014 and the associated infographic poster. This paper will describe and evaluate the effectiveness of a different approach to defining the assessment task and formatively and summatively assessing the work of the students in order to effectively evaluate and mark both the soft skills, including creativity, curiosity, storytelling, problem solving and communication, as well as the technical skills. This approach works effectively at all levels of undergraduate and masters courses.en
dc.language.isoenen
dc.publisherSAS Inc.en
dc.relation.urlhttp://support.sas.com/resources/papers/proceedings16/9700-2016.pdfen
dc.relation.urlhttp://support.sas.com/resources/papers/proceedings16/index.htmlen
dc.relation.urlhttp://www.sas.com/en_us/events/sas-global-forum/sas-global-forum-2016.htmlen
dc.subjectAssessmenten
dc.subjectTechnical Skillsen
dc.subjectSoft Skillsen
dc.subjectAnalyticsen
dc.titleAssessing undergraduate and postgraduate hard and soft skills in analytics and data science coursesen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalProceedings of the SAS Global Forumen
dc.relation.embedded<iframe width="560" height="315" src="https://www.youtube.com/embed/jZjH_2TXxic" frameborder="0" allowfullscreen></iframe>en
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